I'm a Backend Python Engineer with 2+ years working on production systems, specializing in API design, process automation, and high-performance backend services using Django, FastAPI, Flask, and Odoo. My work is focused on building scalable, maintainable architectures that are easy to evolve and operate in real-world environments.

I enjoy tackling complex performance bottlenecks, designing clear and robust abstractions, and writing clean, well-tested code that teams can rely on over time. I care about code quality, observability, and modern DevOps practices to ensure systems are not only functional, but reliable in production.

I believe in learning by doing and following a structured approach to growth. I run an ongoing Upskilling Project to deepen my expertise in core backend and DevOps skills.

🎯 T1-Upskilling-2025: Structured Learning Project

I use a GitHub Project Board to plan, track, and document my learning journey. Each skill or concept is broken down into actionable issues, linked directly to the code I write in dedicated practice repositories.

• Purpose: Systematically advance in backend architecture, advanced testing, and modern DevOps.
• Methodology: Theory → Practice → Code Repository → Documentation.
• Current Focus Areas: Advanced Pytest patterns, microservices design, and AWS fundamentals.
• 👉 View my Upskilling Project Board & Progress

This public board reflects my commitment to deliberate practice, continuous improvement, and transparent skill-building.

Backend & Frameworks: Python, Django, Django REST Framework, FastAPI, Flask, Celery

Databases & Caching: PostgreSQL, MySQL, MongoDB, Redis · Query optimization, indexing strategies

Testing & Quality: Pytest, unit/integration testing, mocking, TDD, coverage analysis

DevOps & Tooling: Docker, Docker Compose, Git, GitHub Actions (CI/CD pipelines), Linux

Architecture & Patterns: REST APIs, JWT auth, background tasks, service layer patterns, microservice-oriented design (in progress)

Specialties

• Performance Optimization: Systematic profiling with cProfile + SnakeViz, hot‑path analysis, and targeted refactors to reduce execution time in critical paths.

• Database Performance: Query tuning in PostgreSQL using EXPLAIN ANALYZE, indexing strategies, and rewrite of heavy joins/aggregations for significant latency reduction.

• Architecture: Pragmatic use of design patterns (Factory, Strategy, service layers) and modular backend design.

• Testing & QA: Pytest-centered workflows, high-value test suites, Swagger/OpenAPI-driven contracts.

• Automation: Scripting, scheduled jobs, reporting and monitoring tasks.

Here are some key public projects that represent how I design, test, and ship backend systems.

(Django • Docker • JWT • PostgreSQL • Pytest)

Production-ready, reusable template for secure backend APIs. Includes JWT authentication with refresh token rotation, a role-based permission system (admin/staff/client), rate limiting, and a fully containerized setup with Docker.

Testing: Reached 100% test coverage with 60+ tests, including integration coverage for API endpoints, authentication flows, and permissions, following professional QA practices.

Highlights:

• Factory Boy–based test data, advanced mocking, and end-to-end API tests
• Designed as a modern foundation for SaaS, mobile backends, or microservices
• CI/CD-friendly structure with automated test workflows

⚙️ Django 🐳 Docker 🔒 JWT 🐘 PostgreSQL 🧪 Pytest 📊 100% Coverage

View Repository

(Django • Celery • Redis • PostgreSQL • Pandas)

Backend service for asynchronous file processing (CSV/Excel) using Celery and Redis. Handles long-running tasks, decouples user requests from heavy processing, and exposes a dashboard for tracking upload status and historical runs.

Highlight: Demonstrates production-style async patterns: task queues, retries, monitoring, and user feedback for background work.

⚙️ Django 🧵 Celery 🔴 Redis 📊 Pandas

View Repository

(Flask • MySQL • JWT • Bootstrap • Cron)

Full-stack web application for automated daily email delivery. Implements multi-role accounts (free/premium), email confirmation, a personalized admin dashboard, and a mailing workflow with retries and scheduling.

Highlight: Showcases user management, scheduled jobs, transactional email flows, and a responsive UI deployed to production.

⚡ Flask 🍃 MySQL ✉️ SMTP 🎨 Bootstrap

View Repository · Live Demo ↗

(Pytest • Fixtures • Mocking • Parametrization • uv)

Hands-on repository documenting my deep dive into advanced testing patterns in Python. Covers reusable fixtures, parametrized tests, and robust mocking of external APIs and services, all running on a modern uv-based test environment.

Highlight: Serves as a living knowledge base for professional-grade testing practices, focused on readability, intent-revealing test names, and fast feedback loops.

✅ Pytest 🎭 Mocking 🧩 Fixtures & Parametrize 🛠️ uv

View Repository

• Testing Excellence: Achieved 100% test coverage on my Django API Template (60+ tests, including integration suites for endpoints, auth flows, and permissions), reflecting strong, automated QA practices.
• Legacy System Optimization (Odoo): Delivered a 45x performance improvement on a critical module, reducing processing time from 20+ hours to under 3 hours through profiling, query refactors, and better indexing.
• Database Performance: Improved complex query response times by 300% on tables with 10,000+ records using EXPLAIN ANALYZE, strategic indexing, and query simplification.
• Quality Discipline: Aim to keep 90%+ test coverage on main repositories and rely on CI/CD pipelines for continuous, automated quality checks.

• Working on: Optimizing and progressively migrating a legacy Odoo v13 system into Django REST Framework services, with a focus on performance, maintainability, and clean API boundaries.
• Learning: Deepening my understanding of microservices architecture and growing my AWS cloud skills (deployment, networking, and managed services for backend workloads).
• Collaboration: Interested in contributing to Python open-source projects, developer tooling, and technical documentation initiatives like python-docs-es.
• Open to: Remote-friendly backend roles, collaboration on Python infrastructure/testing projects, and mentorship opportunities (both giving and receiving).

• Email: subliandev@gmail.com
• GitHub: @Sublian
• LinkedIn: @Luis_Gonzalez
• Languages: English (B2 - EFSet Certified), Spanish (Native).
• Community: Active contributor as a translator for the official Python documentation in Spanish.

Thanks for visiting my profile! Always open to discussing technology, optimization challenges, and new opportunities.